Problem
Companies invest in benefits without being able to transform that investment into measurable purchasing power for their employees. At the same time, supermarkets invest in promotions and purchases without structured access to identified consumer communities and without being able to accurately measure which incentives actually change their buying behavior. Vallor was created to connect these two ends, transforming corporate communities into qualified, activable and measurable demand for retail.
Solution
Vallor creates consumer communities from companies and other organizations and connects that demand to food retail. The supermarket defines what behaviors it wishes to encourage, such as the acquisition of new customers, frequency, ticket increase, category rotation, or private label, and offers specific conditions for that community. Vallor activates consumers, monitors transactions and measures results. With each interaction, we build a layer of data on consumer behavior and response to incentives, allowing for increasingly intelligent and measurable activations. Thus, we increase consumer purchasing power while transforming communities into qualified demand and actionable data for retail.
Business model
Vallor operates on a B2B2C recurring subscription revenue model. Companies and organizations contract the benefit for their communities, with an eligible monthly lifetime charge. The projected reference price is R$ 8 per life/month. Thus, a company with 1. 000 Lives represents a contract of approximately R$ 8 thousand/month or R$ 96 thousand/year. In enterprise accounts, with tens of thousands of lives, the ticket can reach hundreds of thousands of reais a month. In the future, the retail data and activation layer opens up new sources of B2B revenue, complementary to the corporate subscription.
Market
Vallor operates on one of the largest and most resilient consumer markets in the world: food and grocery. The global food & grocery retail market is around US$ 12 trillions a year and should reach approximately US$ 14,8 Even trillions 2030. Unlike markets that depend on the creation of a new habit, Vallor operates on a universal, recurring and essential behavior: people need to buy food and basic items continuously. Our opportunity is not to capture all this GMV, but to build the data and activation layer that connects consumer communities to this consumption flow, allowing retailers to understand, stimulate, and measure demand. The larger the network of communities, retailers, and transactions, the greater Vallor's data generation and intelligence potential.
Competitors
Today, we have not identified a competitor that fully replicates the Vallor model. As benchmarks and adjacent competitors, we highlight Reward Gateway/Edenred and BenefitHub in the ecosystem of benefits and communities, and Healthy Benefits+ (Optum) in the connection between benefits and food consumption. In Brazil, platforms such as Swile and iFood Benefits compete for corporate funding. Vallor differentiates itself by forming consumer communities via companies and connecting them to food retail, creating a data layer to activate and measure demand and consumption behavior.
Competitive differentiation
While traditional benefit platforms focus on offering discounts and advantages to employees, Vallor was born with a different logic: to transform consumer communities into a demand and data infrastructure for retail. The retailer is not just a discount provider; they can define what behaviors they want to encourage, such as acquisition, frequency, ticket, category rotation, or private label. Vallor activates the community, measures the response to incentives, and transforms transactions into intelligence for new activations. This cycle creates a proprietary asset of data on consumer behavior and connects, in a single infrastructure, corporate benefit, qualified demand, and retail intelligence.
Entry barrier
Vallor's main barrier to entry will be built by the combination of network effect and proprietary data. As we connect more communities and retailers, we accumulate transactional history and learn how different consumer profiles respond to different incentives, categories, and activations. This intelligence improves the ability to generate results for retail, making it the most valuable platform for new partners and communities. The larger the network, the greater the quantity and quality of the data, the greater the efficiency of the activations, and the more difficult it becomes to replicate the history, integrations, relationships, and intelligence accumulated by Vallor.
Traction
Yes. Vallor is in the pre-recipe and commercial validation phase. We have already validated the thesis with food retail executives and decision makers and have advanced conversations to structure the first pilots. On the community formation side, we are working on relevant corporate opportunities, including a potential community of 115 a thousand lives, still under negotiation. Our next traction milestone is to convert these validations into letters of intent, active pilots, and later, recurring contracts.